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https://doi.org/10.5194/egusphere-2025-2011
https://doi.org/10.5194/egusphere-2025-2011
18 Jul 2025
 | 18 Jul 2025
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

The dependence of albedo on different factors for refreezing melt ponds in the Arctic

Jialiang Zhu, Tao Li, Peng Lu, Yilin Liu, and Xiaoyu Wang

Abstract. Sea ice plays an important role in the heat transfer into the Arctic Ocean whereas the presence of melt ponds on sea ice complicates the scenario. In this study, we report a series of observations conducted in the central Arctic during 2012–2020 to investigate the optical and physical properties of refreezing melt ponds. From early August to early September, the albedo of ponds in the Pacific sector increases by 0.0036 d-1, which is attributed to the changes on surface state. Based on the typical albedo, the types of melt ponds were categorized as water pond (0.14), water-ice pond (0.20), ice pond (0.25), ice-snow pond (0.39) and snow pond (0.74). Further analysis reveals the capacity of different ratios of spectral albedo on the distinction between snow ponds and unponded ice. In addition, the total albedo of ice ponds decreases with rising pond depth, and the increasing of ice lid thickness reduces the albedo while increases that of ice-snow ponds. Based on the observations, we modified a two-stream radiative transfer model, reducing its remaining error from observation by an order of magnitude. The simulation indicates ice lid thickness as the most important determining factor in the total albedo during the freezing process.

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Jialiang Zhu, Tao Li, Peng Lu, Yilin Liu, and Xiaoyu Wang

Status: open (until 23 Oct 2025)

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Jialiang Zhu, Tao Li, Peng Lu, Yilin Liu, and Xiaoyu Wang
Jialiang Zhu, Tao Li, Peng Lu, Yilin Liu, and Xiaoyu Wang

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Short summary
The albedo of refreezing melt pond is observed and effect of multiple factors on it is studied. The refreezing melt ponds are categorized into 5 types according to surface state that dominates albedo. Based on it, we found that ratio between albedo in certain bands can be used to distinguish snow-covered pond from unponded ice. Besides, properties such as pond depth and ice lid have various effect on different types of ponds, which is also examined using in-situ data and modelling.
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